HuggingFace
To use a model hosted on HuggingFace, specify the huggingface.co path in the from field and, when needed, the files to include.
Configuration​
from​
The from key takes the form of huggingface:model_path. Below shows 2 common example of from key configuration.
huggingface:username/modelname: Implies the latest version ofmodelnamehosted byusername.huggingface:huggingface.co/username/modelname:revision: Specifies a particularrevisionofmodelnamebyusername, including the optional domain.
The from key follows the following regex format.
\A(huggingface:)(huggingface\.co\/)?(?<org>[\w\-]+)\/(?<model>[\w\-]+)(:(?<revision>[\w\d\-\.]+))?\z
The from key consists of five components:
- Prefix: The value must start with
huggingface:. - Domain (Optional): Optionally includes
huggingface.co/immediately after the prefix. Currently no other Huggingface compatible services are supported. - Organization/User: The HuggingFace organization (
org). - Model Name: After a
/, the model name (model). - Revision (Optional): A colon (
:) followed by the git-like revision identifier (revision).
name​
The model name. This will be used as the model ID within Spice and Spice's endpoints (i.e. http://localhost:8090/v1/models). This can be set to the same value as the model ID in the from field.
params​
| Param | Description | Default |
|---|---|---|
hf_token | The Huggingface access token. | - |
model_type | The architecture to load the model as. Supported values: mistral, gemma, mixtral, llama, phi2, phi3, qwen2, gemma2, starcoder2, phi3.5moe, deepseekv2, deepseekv3 | - |
tools | Which [tools] should be made available to the model. Set to auto to use all available tools. | - |
system_prompt | An additional system prompt used for all chat completions to this model. | - |
files​
The specific file path for Huggingface model. For example, GGUF model formats require a specific file path, other varieties (e.g. .safetensors) are inferred.
Example​
models:
- from: huggingface:huggingface.co/lmstudio-community/Qwen2.5-Coder-3B-Instruct-GGUF
name: sloth-gguf
files:
- path: Qwen2.5-Coder-3B-Instruct-Q3_K_L.gguf
Access Tokens​
Access tokens can be provided for Huggingface models in two ways:
- In the Huggingface token cache (i.e.
~/.cache/huggingface/token). Default. - Via model params.
models:
- name: llama_3.2_1B
from: huggingface:huggingface.co/meta-llama/Llama-3.2-1B
params:
hf_token: ${ secrets:HF_TOKEN }
Examples​
Load a ML model to predict taxi trips outcomes​
models:
- from: huggingface:huggingface.co/spiceai/darts:latest
name: hf_model
files:
- path: model.onnx
datasets:
- taxi_trips
Load a LLM model to generate text​
models:
- from: huggingface:huggingface.co/microsoft/Phi-3.5-mini-instruct
name: phi
Load a private model​
models:
- name: llama_3.2_1B
from: huggingface:huggingface.co/meta-llama/Llama-3.2-1B
params:
hf_token: ${ secrets:HF_TOKEN }
For more details on authentication, see access tokens.
- The throughput, concurrency & latency of a locally hosted model will vary based on the underlying hardware and model size. Spice supports Apple metal and CUDA for accelerated inference.
- ML models currently only support ONNX file format.
Cookbook​
- Use the Llama family of models locally from HuggingFace using Spice. Running Llama3 Locally
